HI I am using Jyputer Notebook Colaboratory
I am writing in R
How can I load the CSV File as r code
Regards
I am not familiar with R, but the instructions should be relatively similar to Python.
This article is very useful: https://towardsdatascience.com/3-ways-to-load-csv-files-into-colab-7c14fcbdcb92
If none of the methods in the article suit your needs, here is another method that involves mounting your Google Drive to Collaboratory:
Go to Google Colab and type:
from google.colab import drive
drive.mount('/content/gdrive')
Run the code block (Ctrl + Enter), click on the link, sign in to your Google account, and copy the authorization code and paste it into the output of the code block in Google Colab.
The files in your Google Drive should be under the 'Files' tab when you open the left toolbar (by clicking the small arrow on the left side of the screen).
When you want to load the CSV in your code, enter this line of code (where loadCSV is the variable name, and the part after the = sign is the directory of the file):
loadCSV = "gdrive/My Drive/dataset.csv"
I upload the spreadsheet to google drive, make it published on the web, and use the link:
url<-"https://docs.google.com/spreadsheets/AAAAAAAAAAAAA"
library(curl)
download.file(url, destfile = "./Data.csv",cacheOK=TRUE)
Data1<-read.csv("./Data.csv",header=T,stringsAsFactors = FALSE)
Where the "https://docs.google.com/spreadsheets/AAAAAAAAAAAAA" is the weblink generated by google drive for the spreadsheet but selecting just one Sheet as csv.
this should work:
x = read.csv(filepath)
Related
This is the input I'm running: file = pd.DataFrame({'column': x_test, 'target': y_test}) my_file.to_csv('file.csv', index=False).
In G Colab, the file appears in the files folder in the left column and you can download it there. I'm trying to figure how to download it in Jupyter?
Once you are done with your code as you mention in your question.
Click on File.
Select Open.
It will open a new tab where you find three menu File, Running, Clusters.
The csv file that you made by the name of "file.csv" you can find in the File section.
As I used the YOLOv4 following the video tutorial, I could not get the chart.png which I believe should be because of the training has not even started.
Here is the link of my notebook.
https://colab.research.google.com/drive/1s-eKUoK-qRrVbV3gZid_B1cSgDxd4GmR?usp=sharing
I tried to find the place where I should upload the classes.txt file into google colab VM.
I believe without that file the trainer does not know what the first digit in image label txt files corresponds to.
Any help will be appreciated!
The title of the question pretty much says it all. I’m using R in Google Colab and while analyzing some data I have generated an output data frame which I wish to export (either to Google Drive or to my local desktop). How can I achieve this?
You can save a .csv file in Colab root folder with a classic:
write.csv(your_df, file='output.csv')
You will find the file in the left sidebar, clicking on it will pop the option to download it.
I was trying to import a hotel reviews dataset into R from website. How do we do this one line of code, without manually downloading it and then importing it using read.csv type functions?
https://data.world/datafiniti/hotel-reviews/workspace/file?filename=Datafiniti_Hotel_Reviews.csv
Clicking on the above link doesn't directly prompt you to download. I tried using the URL function within read.csv().
Thanks for your help.
Rahman
you need to go to the "share url" in Data World to get the proper link
url2<-"https://query.data.world/s/hvrhbuqej6z2wdlmga4vtpsxx32ig4"
download.file(url2, destfile = "./Data.csv",cacheOK=TRUE)
Data<-read.csv("./Data.csv",header=T,stringsAsFactors = FALSE)
Similar to the answer above, but you can also f you click on the Download button in data.world and click on Share URL, you can copy a one-liner for R to load that table directly from the signed URL:
I'm trying to download a csv file from the Our World in Data website. There are several charts at the end of the post, and each has a "Data" tab that reveals a download link.
When you click the csv downloads directly. The link to the "relative-share-of-deaths-in-usa.csv" button is "https://ourworldindata.org/e9df3be1-29e0-4366-bc14-554bb4ba8be1", but when I use this in RCurl, it downloads an html file. How can I pull into R from the site?
library (RCurl)
download <- getURL("https://ourworldindata.org/e9df3be1-29e0-4366-bc14-554bb4ba8be1")
data <- read.csv(textConnection(download))